Muscle and plasma protein synthesis in response to a leucine-enriched meal in sarco-dynapenic older women
Bibliographic record
Abstract
Sarcopenia (muscle loss) and dynapenia (loss of strength)are risk factors for disabilities, falls and loss of autonomy with aging.The essential amino acid leucine is asignaling molecule that stimulates mRNA translation, protein synthesis and insulin secretion, making it a potential anabolic agent.This thesis assessed the effect of leucine added to a meal on whole-body leucine balance, myofibrillar and sarcoplasmic proteins and on total plasma protein fractional synthesis rates (FSR) in 13 older women.The design was a randomized, double-blind crossover versus an isonitrogenous meal.A possible effect of sarco-dynapenia on these variables was tested (n=7 with sarco-dynapenia, n=6 controls).Greater whole-body leucine balance (intake -oxidation, measured by dilution of stable isotope [1-13 C]leucine),after the meal+leucine was contributed by enhanced myofibrillar protein synthesis, measured by incorporation of [ 2 H 5 ]phenylalanine.Sarcoplasmic and total plasma protein FSR wereequally stimulated by both meals.There was no effect of sarco-dynapenia on any of these protein kinetic responses.Data suggest that additional leucine stimulates myofibrillar protein synthesis and greater total retention.The anabolic capacity was maintained in women with sarco-dynapenia who could benefit from such an intervention.Future studies will determine whether long-term leucine supplementation translates into improved muscle mass, strength and function.Above all, I would like to extend significant gratitude to my supervisor, Dr. Stphanie Chevalier, who has been a true inspiration throughout my journey, on both an academic and personal level.Words cannot express how deeply thankful and honoured I am to have been able to learn from her.Her understanding, patience and constant guidance have been instrumental throughout my thesis, always leading me to higher grounds
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".